We introduce a new method for the estimation of discount functions, yield curves and forward curves from government issued coupon bonds. Our approach is nonparametric and does not assume a particular functional form for the discount function although we do show how to impose various restrictions...

We propose an Adaptive Dynamic Nelson–Siegel (ADNS) model to adaptively detect parameter changes and forecast the yield curve. The model is simple yet flexible and can be safely applied to both stationary and nonstationary situations with different sources of parameter changes. For the 3- to...

We propose a model that delivers endogenous variations in term spreads driven primarily by banks’ portfolio decision and their appetite to bear the risk of maturity transformation. We first show that fluctuations of the future profitability of banks’ portfolios affect their ability to cover...

Many papers find that the term spread of the term structure of government bond yields can predict future output growth. This paper extends that literature by exploiting information in the entire term structure of interest rates. I apply a dynamic version of the Nelson–Siegel yield curve model...

This paper proposes the use of forecast combination to improve predictive accuracy in forecasting the U.S. business cycle index, as published by the Business Cycle Dating Committee of the NBER. It focuses on one-step ahead out-of-sample monthly forecast utilising the well-established coincident...

This paper provides an examination of term structure models in the Australian bond market. Specifically, we examine the comparative ability of various models to forecast at the short, medium and long ends of the yield curve. Overall, we find that model performance varies along the yield curve....

This paper identifies the determinants that affect the probability of deviations from the target interest rate (overnight interbank rate) of Bank of Mexico, through the development of several binary probit models. Among, the determinants of monetary policy decisions of Bank of Mexico several...

This paper proposes the use of forecast combination to improve predictive accuracy in forecasting the U.S. business cycle index, as published by the Business Cycle Dating Committee of the NBER. It focuses on one-step ahead out-of-sample monthly forecast utilising the well-established coincident...

The aim of this paper is to study how the macroeconomic impulses can affect the term structure during the Great Moderation. As novelty in the research strategy, we create a term-structure using three latent factors of the yield curve. A Nelson-Siegel Model is implemented to estimate the latent...

Stationary I(0) models employed in yield curve analysis typically imply an unrealistically low degree of volatility in long-run short-rate expectations due to fast mean reversion. In this paper we propose a novel multivariate affine term structure model with a two-fold source of persistence in...